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Educational Data Mining

Overview of attention for book
Cover of 'Educational Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Which Contribution Does EDM Provide to Computer-Based Learning Environments?
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    Chapter 2 A Survey on Pre-Processing Educational Data
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    Chapter 3 How Educational Data Mining Empowers State Policies to Reform Education: The Mexican Case Study
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    Chapter 4 Modeling Student Performance in Higher Education Using Data Mining
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    Chapter 5 Using Data Mining Techniques to Detect the Personality of Players in an Educational Game
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    Chapter 6 Students’ Performance Prediction Using Multi-Channel Decision Fusion
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    Chapter 7 Predicting Student Performance from Combined Data Sources
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    Chapter 8 Predicting Learner Answers Correctness Through Eye Movements with Random Forest
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    Chapter 9 Mining Domain Knowledge for Coherence Assessment of Students Proposal Drafts
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    Chapter 10 Adaptive Testing in Programming Courses Based on Educational Data Mining Techniques
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    Chapter 11 Educational Data Mining
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    Chapter 12 Finding Dependency of Test Items from Students’ Response Data
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    Chapter 13 Mining Texts, Learner Productions and Strategies with ReaderBench
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    Chapter 14 Maximizing the Value of Student Ratings Through Data Mining
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    Chapter 15 Data Mining and Social Network Analysis in the Educational Field: An Application for Non-Expert Users
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    Chapter 16 Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective
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